The use of invariant moments in hand-written character recognition

Details The use of invariant moments in hand-written character recognition The use of invariant moments in hand-written character recognition

2009-04-23

arxiv.org/abs/0904.3650v1

Ann. Univ. Tibiscus Comp. Sci. Series IV (2006), 91-102

Computer Science

Neural and Evolutionary Computing

12 pages,exposed on 1st "European Conference on Computer Sciences & Applications" - XA2006, Timisoara, Romania

Scientific paper

The goal of this paper is to present the implementation of a Radial Basis Function neural network with built-in knowledge to recognize hand-written characters. The neural network includes in its architecture gates controlled by an attraction/repulsion system of coefficients. These coefficients are derived from a preprocessing stage which groups the characters according to their ascendant, central, or descendent components. The neural network is trained using data from invariant moment functions. Results are compared with those obtained using a K nearest neighbor method on the same moment data.

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